Denoising

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

25 new papers

A weekly snapshot of new work published in Denoising.

Period ending 2026-09-14

22 new papers

A weekly snapshot of new work published in Denoising.

Period ending 2026-09-07

34 new papers

A weekly snapshot of new work published in Denoising.

Inside this field

Focused directions

1,014 papers

Latest in Denoising

Open your feed →
CardsList

  1. Frequency-Aware Dual-Stream Learning for Balanced Realism and Fidelity in Electron Microscopy Imaging

    Jul 24, 2026Longmi Gao, Zhengkai Zhao, Pan Gao +1MicroscopyImage Reconstruction

  2. Diffusion Models in Medical Image Inpainting: Challenges, Solution Taxonomy, and Future Directions

    Jul 24, 2026Arthur Dantas Mangussi, Joana Cristo Santos, Ricardo Cardoso Pereira +3InpaintingMedical Imaging

  3. Prior laundering: learned priors with inherited, undetectable overconfidence

    Jul 23, 2026Ali Siahkoohi, Sina AlemohammadIll-Posed Inverse ProblemPrior Knowledge

  4. ElasticTTT: Prior-Preserving Test-Time Tuning for Video Editing

    Jul 23, 2026Yueyi Liu, Chi Zhang, Sen Cui +1Pre-Trained Video Diffusion ModelsVideo Editing

  5. Learning and Structurally Validating Simulation Scenario Continuations in Dynamic Graph Systems

    Jul 23, 2026Michael Romei de Socio, Gian Luca Pozzato, Alessio MerloScenario GenerationContinuation

  6. A Diffusion-Model Subpopulation Digital Twin for Mobile Health Deployment: A Case Study on the HeartSteps Intervention

    Jul 23, 2026Ziping Xu, Yuyi Chang, Chenshun Ni +5TwinsPhysical Activities

  7. Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

    Jul 23, 2026Jingyuan Li, Xiaoyi Jiang, Yixuan Jiang +4Score-Based Diffusion ModelScoring

  8. SlerpFlow: Spherical Trajectory Correction for Rectified Flow Inversion

    Jul 23, 2026Wenbin Duan, Yan Shu, Zhuoyuan Fu +4Rectified FlowDenoising Trajectory

  9. Stokes-Informed Diffusion for Robust Linear Polarization Estimation

    Jul 23, 2026Yidong Luo, Chenggong Li, Yuchao Feng +3PolarizationInfrared-Visible Image Fusion

  10. Decoupling Cross-Modality Manifold Discrepancy: Leveraging Visible Diffusion Priors for Infrared Super-Resolution

    Jul 23, 2026Yunpeng Hua, Hongwei Yu, Jiawei Li +3Hyperspectral Image Super-ResolutionDiscrete Diffusion Model

  11. Distributed Model-Based Diffusion For Scalable Multi-Robot Trajectory Optimization

    Jul 23, 2026Haejoon Lee, Xinyi Wang, Taekyung Kim +1Multi-Robot Motion PlanningMulti-Robot Systems

  12. Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model Finetuning

    Jul 23, 2026Yi Xiong, Yuan-Yuan Cheng, Xiao-Ming FuDiscrete Diffusion ModelGenerative

  13. GRACE: Gradient-Free Robot Action Generation via Combined Diffusion-MPPI Posterior Mean Estimation

    Jul 22, 2026Leesai Park, Jiho HOng, Sanghyun KimDiffusion PoliciesRobot Policies

  14. DS@GT ARC at ImageCLEFmed GANs 2026: Geometric Filtering for Privacy-Preserving CT Slice Generation

    Jul 22, 2026Eric Regina, Richard Arnaud, Samir Hadi CisnerosMedical Image GenerationTomography

  15. Evolving Cache Schedules for Fast Diffusion Policy Inference

    Jul 22, 2026Siying Wang, Kangye Ji, Di Wang +1Diffusion PoliciesImage Denoising

  16. Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction

    Jul 22, 2026Seonsoo Kim, Seongil Hong, Jun-Gill KangDiffusion PoliciesAutoregressive Rollout

  17. Nuclear Quantum Effects as a Denoising Problem

    Jul 22, 2026Weizhou Wang, Jonathan Weare, Aaron R. DinnerBoltzmann DistributionsFeynman-Kac

  18. γ-Bridge: A Look-Parametric Diffusion Bridge

    Jul 21, 2026Xuran Hu, Yujie Zhu, Tengxi Wang +2Denoising Diffusion Probabilistic ModelGaussian Noise

  19. 1-Lipschitz Neural Networks on Hadamard Manifolds

    Jul 21, 2026Davide Murari, Marta Ghirardelli, Ben Adcock +3Lipschitz ConstantNeural Network

  20. Provable diffusion-based posterior sampling for linear inverse problems via DDIM

    Jul 21, 2026Yuchen Jiao, Na Li, Changxiao Cai +2Ill-Posed Inverse ProblemPosterior Sampling

  21. Physics Closure Matters for Machine Olfaction: A Maxwell-Stefan Graph Solver for Identifiable Dynamic Gas Unmixing

    Jul 20, 2026Yue Shi, Liangxiu Han, Xin Zhang +1Olfactory PerceptionHyperspectral Unmixing

  22. AniGS: Bridging Rendering and Diffusion Prior for 3D Scene Animation

    Jul 20, 2026Yen-Chi Cheng, Chen Gao, Chuhan Chen +83D ScenesNovel View Synthesis

  23. Surprise Forcing: What to Remember, When to Skip in Long Video Generation

    Jul 20, 2026Shuwei Shi, Zhen Li, Muyao Niu +4Controllable Video GenerationLong Video Generation

  24. Importance Sampling and PCA for Finding Failures in Commercial Autonomous Vehicles

    Jul 20, 2026Hailey Warner, Duncan Eddy, Shreya Parjan +6Robot FailuresAutonomous Driving

  25. DiFA: Inference-Time Forward-Process Alignment for Diffusion Models

    Jul 20, 2026Shigui Li, Delu ZengDiscrete Diffusion ModelInference-Time

  26. Addressing Limited Data in Auditory Attention Decoding with Diffusion Generative Models

    Jul 20, 2026David Rannaleet, Victor Gunnarsson, Bo Bernhardsson +2Synthetic Data AugmentationElectroencephalography Spatial Super-Resolution

  27. Feature-Guided Diffusion for Non-Differentiable Inverse Rendering

    Jul 19, 2026Andrei-Timotei Ardelean, Michael Fischer, Tim Weyrich +1Reward-Guided DiffusionInverse Rendering

  28. Denoising Models Develop Human-Like Perceptual Illusion Representations Across Architectures

    Jul 19, 2026Gautam Ranka, Paras ChopraVisual PerceptionPerceptual Understanding

  29. Apeliotes: A Diffusion-Based Modeling Framework for km-scale Multi-Level Atmospheric Fields

    Jul 19, 2026Evangelia Rafaela Frastali, Achyut Paudel, Maryam Golbazi +1Dynamical DownscalingAtmospheric Dynamics

  30. Bridging battery design and health assessment through virtual sensing and physics-informed learning

    Jul 18, 2026Wendi Guo, Søren Byg Vilsen, Daniel Ioan Stroe +4Lithium-Ion BatteriesPhysics-Informed Machine Learning

  31. Semi-Supervised Conditional Diffusion via Label Augmentation

    Jul 18, 2026Jin Su, Yuan Gao, Yong Zhou +1Discrete Diffusion ModelConditional Distribution

  32. CLDRoute: Conditional Latent Diffusion for Routability Map Generation in Physical Design

    Jul 18, 2026Kiran Thorat, Nicole Meng, Caiwen Ding +2Expert RoutingIdentity-Conditioned Latent Diffusion Models

  33. Toward a mechanistic understanding of inference in visual cortex and diffusion models

    Jul 17, 2026Zeyu Yun, Alexander Belsten, Dasheng Bi +3Human Visual CortexDiscrete Diffusion Model

  34. Weakly-Supervised RGB-D Salient Object Detection via SAM-driven Pseudo Annotation and State Space Interaction-based Diffusion

    Jul 16, 2026Wenqi Si, Gongyang Li, Shixiang Shi +1Pixel-Level AnnotationPhotometric Supervision

  35. Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction

    Jul 16, 2026Guixian Xu, Jinglai Li, Junqi TangImage ReconstructionImage Denoising

  36. Rare Concept Generation via Counterfactual Inference in Diffusion Models

    Jul 16, 2026Zhengyuan Jiang, Haipeng Liu, Meng Wang +1Text-To-Image Diffusion ModelsDiscrete Diffusion Model

  37. WanSong v1.0 Technical Report

    Jul 16, 2026Binghui Chen, Pandeng Li, Yu Liu +1Music GenerationAutoregressive Diffusion

  38. A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models

    Jul 16, 2026Zikun Zhang, Jiayuan Sheng, David D. Yao +1Diffusion PoliciesScore-Based Diffusion Model

  39. Motion Planning with Model-Based Diffusion via Constraint Optimization and Adaptive Scheduling

    Jul 16, 2026Zhilin He, Bowei Li, Jianlin Dou +2Diffusion PlanningRobot Planning

  40. Integration Matters: Rollout-Based Training for Constrained Diffusion Models

    Jul 15, 2026Xiaoxuan Liang, Saeid Naderiparizi, Berend Zwartsenberg +1Discrete Diffusion ModelGenerative Models

  41. Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows

    Jul 15, 2026Jingdong Zhang, Xinze Li, Yize Jiang +3Neural GuidanceReward-Guided Diffusion

  42. MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion

    Jul 15, 2026Yilai Liu, Shiyuan Zhang, Hongyang DuDiscrete Diffusion ModelGenerative Models

  43. Cyclone: Diffusion Model for Cycle-Consistent Weather Editing from Unpaired Driving Data

    Jul 15, 2026Thang-Anh-Quan Nguyen, Moussab Bennehar, Luis Guillermo Roldao Jimenez +5Adverse WeatherNaturalistic Driving Data

  44. LPM: Industrial-Scale Generative Video Restoration

    Jul 15, 2026Bichuan Zhu, Fulin Li, Jiachao Gong +14Photorealistic Video RestorationRestoration

  45. Discrete Diffusion Models: A Unified Framework from Tokenization to Generation

    Jul 15, 2026Ye Yuan, Weien Li, Rui Song +19Discrete Diffusion ModelTokenization

  46. Adaptive Filtering of the KV Cache: Diagnosing and Correcting Structural-Role Bias in LLM Inference

    Jul 14, 2026Soumil MandalKey-Value Cache EvictionKey-Value Cache

  47. Exact and Calibrated Diffusion Reconstruction for Digital Breast Tomosynthesis

    Jul 14, 2026Imade BouftiniLow-Dose Computed TomographyDiffusion Priors

  48. RFMSR: Residual Flow Matching for Image Super-Resolution

    Jul 14, 2026Shuwei Huang, Tianyao Luo, Jicheng Liu +2Generative Priors

  49. Self-Consistent Flow: Unifying Velocity and Endpoint Prediction for Rectified Flow Models

    Jul 13, 2026Xu Han, Jiajing Hu, Li-Ping LiuRectified FlowGenerative Flow Networks

  50. TraceSynth: Generating Production-Quality Kernel Traces with Constraint-Guided Diffusion Models

    Jul 13, 2026Yuvraj Sehgal, Sneh Patel, Mahsa Panahandeh +2Circuit TracingInference Workloads

  51. Mixture of Frames Policy: Multi-Frame Action Denoising for Bimanual Mobile Manipulation

    Jul 13, 2026Dian Wang, Jisang Park, Xiaomeng Xu +3Bimanual ManipulationVisuomotor Policy

  52. From Global to Factor-Wise Expert Composition in Discrete Diffusion Models

    Jul 13, 2026Haozhe Huang, Yudong Xu, Abhijoy Mandal +1Discrete Diffusion ModelFactor

  53. Feature-Space Guided Diffusion for Realistic Ultrasound Image Synthesis

    Jul 13, 2026Marina Domínguez, Nélida Mirabet-Herranz, Valery NaranjoMedical Image GenerationUltrasound

  54. DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations

    Jul 13, 2026Abdulkader Helwan, Lina Abou-Abbas, Hussein El Amouri +2Interictal Epileptiform DischargesElectroencephalography Spatial Super-Resolution

  55. Adaptive Routing for Efficient Diffusion Transformer-Based PNI Prediction

    Jul 13, 2026Youngung Han, Dohyun Kweon, Kyeonghun Kim +15CholangiocarcinomaDiscrete Diffusion Model

  56. Diffusion MRI preprocessing affects ADC estimation and automatic PI-RADS v2.1 classification in bi-parametric prostate MRI

    Jul 13, 2026Christos Kanakis, Mathias Perslev, Tim Schakel +4RadiomicsMagnetic Resonance Imaging

  57. Slot-RAE: Streamlining Object-Centric Learning via Direct Representation Auto-Encoders

    Jul 13, 2026Alexandre Chapin, Emmanuel Dellandrea, Liming ChenObject-Centric LearningIdentity-Conditioned Latent Diffusion Models

  58. Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising

    Jul 13, 2026Mohammad Mohammadi, Sina Honari, Stavros Tsogkas +6Low-Light ImagesImage Denoising

  59. Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance

    Jul 13, 2026Zixuan Shen, Bingchuan Wang, Zhi Wang +1Neural Partial Differential Equation SolversDiscretization

  60. EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion

    Jul 13, 2026Cecilia Curreli, Florian Hofherr, Dominik Muhle +3Human Motion Prediction3D Pose Estimator